{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "toc": true
   },
   "source": [
    "<h1>Table of Contents<span class=\"tocSkip\"></span></h1>\n",
    "<div class=\"toc\" style=\"margin-top: 1em;\"><ul class=\"toc-item\"></ul></div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# RNN in TensorFlow - TimeSeries Data <a class=\"tocSkip\">"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NumPy:1.13.1\n",
      "Pandas:0.21.0\n",
      "sklearn:0.19.1\n",
      "Matplotlib:2.1.0\n",
      "TensorFlow:1.4.1\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "import os\n",
    "\n",
    "import numpy as np\n",
    "np.random.seed(123)\n",
    "print(\"NumPy:{}\".format(np.__version__))\n",
    "\n",
    "import pandas as pd\n",
    "print(\"Pandas:{}\".format(pd.__version__))\n",
    "\n",
    "import sklearn as sk\n",
    "from sklearn import preprocessing as skpp\n",
    "print(\"sklearn:{}\".format(sk.__version__))\n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "mpl.rcParams.update({'font.size': 20,\n",
    "                     'figure.figsize': [15,10] \n",
    "                    })\n",
    "print(\"Matplotlib:{}\".format(mpl.__version__))\n",
    "\n",
    "import tensorflow as tf\n",
    "tf.set_random_seed(123)\n",
    "print(\"TensorFlow:{}\".format(tf.__version__))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "DATASETSLIB_HOME = '../datasetslib'\n",
    "import sys\n",
    "if not DATASETSLIB_HOME in sys.path:\n",
    "    sys.path.append(DATASETSLIB_HOME)\n",
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "import datasetslib\n",
    "\n",
    "from datasetslib import util as dsu\n",
    "datasetslib.datasets_root = os.path.join(os.path.expanduser('~'),'datasets')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read and pre-process the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "filepath = os.path.join(datasetslib.datasets_root,\n",
    "                        'ts-data',\n",
    "                        'international-airline-passengers-cleaned.csv'\n",
    "                       ) \n",
    "dataframe = pd.read_csv(filepath,\n",
    "                        usecols=[1],\n",
    "                        header=0)\n",
    "dataset = dataframe.values\n",
    "dataset = dataset.astype(np.float32)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4tXbifMBxVNmUhuSO/hjt6aef5oorrmDevHmzbkQkIiIiInuWaNzpR9HR4oyNe/fBS/A0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moCaYmx/Pf7CjlS38z/ffrtfSl/u6mURzaX8Zk1c7hqUXCmDffndEbaAa7bfLDLdiciIiKRQsGm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\nSZI0OINNSZIkSdLgHgLy1x0YmWdmggAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2d7c7016d8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dataset,label='Original Data')\n",
    "plt.legend()\n",
    "plt.xlabel('Timesteps')\n",
    "plt.ylabel('Total Passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# normalize the dataset\n",
    "scaler = skpp.MinMaxScaler(feature_range=(0, 1))\n",
    "normalized_dataset = scaler.fit_transform(dataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# split into train and test sets\n",
    "train,test=dsu.train_test_split(normalized_dataset,train_size=0.67)\n",
    "# convert into supervised learning set of input data and label\n",
    "n_x=1\n",
    "n_y=1\n",
    "X_train, Y_train, X_test, Y_test = dsu.mvts_to_xy(train,test,n_x=n_x,n_y=n_y)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow SimpleRNN for TimeSeries Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "state_size = 4\n",
    "n_epochs = 100\n",
    "n_timesteps = n_x   # number of time steps\n",
    "n_x_vars = 1  # number of x variables\n",
    "n_y_vars = 1  # number of y variables\n",
    "learning_rate = 0.1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "tf.reset_default_graph()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_p = tf.placeholder(tf.float32, [None, n_timesteps, n_x_vars], name='X_p') \n",
    "# (batch_size, n_steps, n_input)\n",
    "# n_steps tensors list of shape (batch_size, n_input)\n",
    "Y_p = tf.placeholder(tf.float32, [None, n_timesteps, n_y_vars], name='Y_p')\n",
    "\n",
    "# make a list of tensors of length n_x\n",
    "rnn_inputs = tf.unstack(X_p,axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "cell = tf.nn.rnn_cell.BasicRNNCell(state_size)\n",
    "rnn_outputs, final_state = tf.nn.static_rnn(cell, \n",
    "                                            rnn_inputs,\n",
    "                                            dtype=tf.float32\n",
    "                                           )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "W = tf.get_variable('W', [state_size, n_y_vars])\n",
    "b = tf.get_variable('b', [n_y_vars], initializer=tf.constant_initializer(0.0))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<tf.Tensor 'add:0' shape=(?, 1) dtype=float32>]\n"
     ]
    }
   ],
   "source": [
    "predictions = [tf.matmul(rnn_output, W) + b for rnn_output in rnn_outputs]\n",
    "print(predictions)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[<tf.Tensor 'unstack_1:0' shape=(?, 1) dtype=float32>]\n"
     ]
    }
   ],
   "source": [
    "y_as_list = tf.unstack(Y_p, num=n_timesteps, axis=1)\n",
    "print(y_as_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "mse = tf.losses.mean_squared_error\n",
    "losses = [mse(labels=label, predictions=prediction) \n",
    "          for prediction, label in zip(predictions, y_as_list)\n",
    "         ]\n",
    "total_loss = tf.reduce_mean(losses)\n",
    "optimizer = tf.train.AdagradOptimizer(learning_rate).minimize(total_loss)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train mse = 0.002138530369848013\n",
      "test mse = 0.014468207024037838\n",
      "test rmse = 0.12028386019760855\n"
     ]
    }
   ],
   "source": [
    "with tf.Session() as tfs:\n",
    "    tfs.run(tf.global_variables_initializer())\n",
    "    epoch_loss = 0.0\n",
    "    for epoch in range(n_epochs):\n",
    "        feed_dict={X_p: X_train.reshape(-1, n_timesteps, \n",
    "                                        n_x_vars), \n",
    "                   Y_p: Y_train.reshape(-1, n_timesteps, \n",
    "                                        n_x_vars)\n",
    "                  }\n",
    "        epoch_loss,y_train_pred,_=tfs.run([total_loss,predictions,optimizer], \n",
    "                                            feed_dict=feed_dict\n",
    "                                           )\n",
    "    print(\"train mse = {}\".format(epoch_loss))\n",
    "    feed_dict={X_p: X_test.reshape(-1, n_timesteps, \n",
    "                                    n_x_vars), \n",
    "               Y_p: Y_test.reshape(-1, n_timesteps, \n",
    "                                    n_y_vars)\n",
    "              }\n",
    "    test_loss, y_test_pred = tfs.run([total_loss,predictions], \n",
    "                                     feed_dict=feed_dict\n",
    "                                    )\n",
    "    print('test mse = {}'.format(test_loss))\n",
    "    print('test rmse = {}'.format(math.sqrt(test_loss)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_train_pred=y_train_pred[0]\n",
    "y_test_pred=y_test_pred[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "#invert predictions\n",
    "y_train_pred = scaler.inverse_transform(y_train_pred)\n",
    "y_test_pred = scaler.inverse_transform(y_test_pred)\n",
    "\n",
    "#invert originals\n",
    "y_train_orig = scaler.inverse_transform(Y_train)\n",
    "y_test_orig = scaler.inverse_transform(Y_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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XvPXWWzQ0NDBv3jycTu2JJCIiIiKhK222QBBASlwMPzwhjTc353PbeUOIigp9u76jhSqb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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2d7a524ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# shift train predictions for plotting\n",
    "trainPredictPlot = np.empty_like(dataset)\n",
    "trainPredictPlot[:, :] = np.nan\n",
    "trainPredictPlot[n_x-1:len(y_train_pred)+n_x-1, :] = y_train_pred\n",
    "# shift test predictions for plotting\n",
    "testPredictPlot = np.empty_like(dataset)\n",
    "testPredictPlot[:, :] = np.nan\n",
    "testPredictPlot[len(y_train_pred)+(n_x*2)-1:len(dataset)-1, :] = y_test_pred\n",
    "# plot baseline and predictions\n",
    "plt.plot(dataset,label='Original Data')\n",
    "plt.plot(trainPredictPlot,label='y_train_pred')\n",
    "plt.plot(testPredictPlot,label='y_test_pred')\n",
    "plt.legend()\n",
    "plt.xlabel('Timesteps')\n",
    "plt.ylabel('Total Passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow LSTM for TimeSeries Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train mse = 0.0019662242848426104\n",
      "test mse = 0.012980078347027302\n",
      "test rmse = 0.11393014678752636\n"
     ]
    },
    {
     "data": {
      "image/png": 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4++23WbduHYsXL2bChAmce+65Hd0tEREREZGQldSHzabmbEZFGRJibJRqgaBG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\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2d7a562e48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n_epochs = 600\n",
    "n_timesteps = n_x   # number of time steps\n",
    "n_x_vars = 1  # number of x variables\n",
    "n_y_vars = 1  # number of y variables\n",
    "learning_rate = 0.1\n",
    "\n",
    "tf.reset_default_graph()\n",
    "X_p = tf.placeholder(tf.float32, [None, n_timesteps, n_x_vars], name='X_p') \n",
    "Y_p = tf.placeholder(tf.float32, [None, n_timesteps, n_y_vars], name='Y_p')\n",
    "\n",
    "# make a list of tensors of length n_x\n",
    "rnn_inputs = tf.unstack(X_p,axis=1)\n",
    "\n",
    "cell = tf.nn.rnn_cell.LSTMCell(state_size)\n",
    "rnn_outputs, final_state = tf.nn.static_rnn(cell, rnn_inputs,dtype=tf.float32)\n",
    "\n",
    "W = tf.get_variable('W', [state_size, n_y_vars])\n",
    "b = tf.get_variable('b', [n_y_vars], initializer=tf.constant_initializer(0.0))\n",
    "\n",
    "predictions = [tf.matmul(rnn_output, W) + b for rnn_output in rnn_outputs]\n",
    "\n",
    "y_as_list = tf.unstack(Y_p, num=n_timesteps, axis=1)\n",
    "\n",
    "mse = tf.losses.mean_squared_error\n",
    "losses = [mse(labels=label, predictions=prediction) for \n",
    "          prediction, label in zip(predictions, y_as_list)\n",
    "         ]\n",
    "total_loss = tf.reduce_mean(losses)\n",
    "optimizer = tf.train.AdagradOptimizer(learning_rate).minimize(total_loss)\n",
    "\n",
    "with tf.Session() as tfs:\n",
    "    tfs.run(tf.global_variables_initializer())\n",
    "    epoch_loss = 0.0\n",
    "    for epoch in range(n_epochs):\n",
    "        feed_dict={X_p: X_train.reshape(-1, n_timesteps, \n",
    "                                        n_x_vars), \n",
    "                   Y_p: Y_train.reshape(-1, n_timesteps, \n",
    "                                        n_x_vars)\n",
    "                  }\n",
    "        epoch_loss,y_train_pred,_=tfs.run([total_loss,\n",
    "                                           predictions,\n",
    "                                           optimizer], \n",
    "                                          feed_dict=feed_dict\n",
    "                                         )\n",
    "    print(\"train mse = {}\".format(epoch_loss))\n",
    "    feed_dict={X_p: X_test.reshape(-1, n_timesteps, \n",
    "                                    n_x_vars), \n",
    "               Y_p: Y_test.reshape(-1, n_timesteps, \n",
    "                                    n_y_vars)\n",
    "              }\n",
    "    test_loss, y_test_pred = tfs.run([total_loss,predictions], \n",
    "                                feed_dict=feed_dict)\n",
    "    \n",
    "    print('test mse = {}'.format(test_loss))\n",
    "    print('test rmse = {}'.format(math.sqrt(test_loss)))\n",
    "\n",
    "y_train_pred=y_train_pred[0]\n",
    "y_test_pred=y_test_pred[0]\n",
    "\n",
    "#invert predictions\n",
    "y_train_pred = scaler.inverse_transform(y_train_pred)\n",
    "y_test_pred = scaler.inverse_transform(y_test_pred)\n",
    "\n",
    "#invert originals\n",
    "y_train_orig = scaler.inverse_transform(Y_train)\n",
    "y_test_orig = scaler.inverse_transform(Y_test)\n",
    "\n",
    "# shift train predictions for plotting\n",
    "trainPredictPlot = np.empty_like(dataset)\n",
    "trainPredictPlot[:, :] = np.nan\n",
    "trainPredictPlot[n_x-1:len(y_train_pred)+n_x-1, :] = y_train_pred\n",
    "# shift test predictions for plotting\n",
    "testPredictPlot = np.empty_like(dataset)\n",
    "testPredictPlot[:, :] = np.nan\n",
    "testPredictPlot[len(y_train_pred)+(n_x*2)-1:len(dataset)-1, :]=y_test_pred\n",
    "# plot baseline and predictions\n",
    "plt.plot(dataset,label='Original Data')\n",
    "plt.plot(trainPredictPlot,label='y_train_pred')\n",
    "plt.plot(testPredictPlot,label='y_test_pred')\n",
    "plt.legend()\n",
    "plt.xlabel('Timesteps')\n",
    "plt.ylabel('Total Passengers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TensorFlow GRU for TimeSeries Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "train mse = 0.002038003643974662\n",
      "test mse = 0.015027225948870182\n",
      "test rmse = 0.12258558621987407\n"
     ]
    },
    {
     "data": {
      "image/png": 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p03A6tSeSiIiIiASvuN4CQQCp8TH8/Lg0Plizi7sv6EdUVPDb9R0pVNmUiHTTTTdRUlLC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\n/BsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f2d7a1cfcf8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "state_size = 4\n",
    "n_epochs = 600\n",
    "n_timesteps = n_x   # number of time steps\n",
    "n_x_vars = 1  # number of x variables\n",
    "n_y_vars = 1  # number of y variables\n",
    "learning_rate = 0.1\n",
    "\n",
    "tf.reset_default_graph()\n",
    "X_p = tf.placeholder(tf.float32, [None, n_timesteps, n_x_vars], name='X_p') \n",
    "Y_p = tf.placeholder(tf.float32, [None, n_timesteps, n_y_vars], name='Y_p')\n",
    "\n",
    "# make a list of tensors of length n_x\n",
    "rnn_inputs = tf.unstack(X_p,axis=1)\n",
    "\n",
    "cell = tf.nn.rnn_cell.GRUCell(state_size)\n",
    "rnn_outputs, final_state = tf.nn.static_rnn(cell, rnn_inputs,dtype=tf.float32)\n",
    "\n",
    "W = tf.get_variable('W', [state_size, n_y_vars])\n",
    "b = tf.get_variable('b', [n_y_vars], initializer=tf.constant_initializer(0.0))\n",
    "\n",
    "predictions = [tf.matmul(rnn_output, W) + b for rnn_output in rnn_outputs]\n",
    "\n",
    "y_as_list = tf.unstack(Y_p, num=n_timesteps, axis=1)\n",
    "\n",
    "mse = tf.losses.mean_squared_error\n",
    "losses = [mse(labels=label, predictions=prediction) for \n",
    "          prediction, label in zip(predictions, y_as_list)\n",
    "         ]\n",
    "total_loss = tf.reduce_mean(losses)\n",
    "optimizer = tf.train.AdagradOptimizer(learning_rate).minimize(total_loss)\n",
    "\n",
    "with tf.Session() as tfs:\n",
    "    tfs.run(tf.global_variables_initializer())\n",
    "    epoch_loss = 0.0\n",
    "    for epoch in range(n_epochs):\n",
    "        feed_dict={X_p: X_train.reshape(-1, \n",
    "                               n_timesteps,\n",
    "                               n_x_vars\n",
    "                              ),\n",
    "                   Y_p: Y_train.reshape(-1, \n",
    "                               n_timesteps,\n",
    "                               n_y_vars\n",
    "                              )\n",
    "                  }\n",
    "        epoch_loss,y_train_pred,_ = tfs.run([total_loss,\n",
    "                                             predictions,\n",
    "                                             optimizer], \n",
    "                                            feed_dict=feed_dict\n",
    "                                           )\n",
    "    print(\"train mse = {}\".format(epoch_loss))\n",
    "    feed_dict={X_p: X_test.reshape(-1, \n",
    "                                   n_timesteps,\n",
    "                                   n_x_vars\n",
    "                                  ),\n",
    "               Y_p: Y_test.reshape(-1, \n",
    "                                   n_timesteps,\n",
    "                                   n_y_vars\n",
    "                                  )\n",
    "              }\n",
    "    test_loss, y_test_pred = tfs.run([total_loss,predictions], \n",
    "                                feed_dict=feed_dict)\n",
    "    \n",
    "    print('test mse = {}'.format(test_loss))\n",
    "    print('test rmse = {}'.format(math.sqrt(test_loss)))\n",
    "\n",
    "y_train_pred=y_train_pred[0]\n",
    "y_test_pred=y_test_pred[0]\n",
    "\n",
    "#invert predictions\n",
    "y_train_pred = scaler.inverse_transform(y_train_pred)\n",
    "y_test_pred = scaler.inverse_transform(y_test_pred)\n",
    "\n",
    "#invert originals\n",
    "y_train_orig = scaler.inverse_transform(Y_train)\n",
    "y_test_orig = scaler.inverse_transform(Y_test)\n",
    "\n",
    "# shift train predictions for plotting\n",
    "trainPredictPlot = np.empty_like(dataset)\n",
    "trainPredictPlot[:, :] = np.nan\n",
    "trainPredictPlot[n_x-1:len(y_train_pred)+n_x-1, :] = y_train_pred\n",
    "# shift test predictions for plotting\n",
    "testPredictPlot = np.empty_like(dataset)\n",
    "testPredictPlot[:, :] = np.nan\n",
    "testPredictPlot[len(y_train_pred)+(n_x*2)-1:len(dataset)-1, :]=y_test_pred\n",
    "# plot baseline and predictions\n",
    "plt.plot(dataset,label='Original Data')\n",
    "plt.plot(trainPredictPlot,label='y_train_pred')\n",
    "plt.plot(testPredictPlot,label='y_test_pred')\n",
    "plt.legend()\n",
    "plt.xlabel('Timesteps')\n",
    "plt.ylabel('Total Passengers')\n",
    "plt.show()"
   ]
  }
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